umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A multiple state model for the working-age disabled population using cross-sectional data
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Economics.ORCID iD: 0000-0001-9244-7018
2020 (English)In: Scandinavian Actuarial Journal, ISSN 0346-1238, E-ISSN 1651-2030Article in journal (Refereed) Epub ahead of print
Abstract [en]

A multiple state model describes the transitions of the disability risk among the states of active, inactive and dead. Ideally, estimations of transition probabilities and transition intensities rely on longitudinal data; however, most of the national surveys of disability are based on cross-sectional data measuring the disabled status of an individual at one point in time. This paper aims to propose a generic method of the estimation of the expected transition probabilities when the model allows recovery from disability using the UK cross-sectional data. The disability prevalence rates are modelled by taking into consideration the effect of age and time. Under some plausible assumptions concerning the death rates among inactive and active people, the estimated prevalence rates of disability are used to decompose survival probabilities in each state.

Place, publisher, year, edition, pages
Taylor & Francis, 2020.
Keywords [en]
Disability, cross-sectional data, multiple state model, transition probabilities, working-age people
National Category
Public Health, Global Health, Social Medicine and Epidemiology
Identifiers
URN: urn:nbn:se:umu:diva-168805DOI: 10.1080/03461238.2020.1724192ISI: 000514496000001OAI: oai:DiVA.org:umu-168805DiVA, id: diva2:1413436
Available from: 2020-03-10 Created: 2020-03-10 Last updated: 2020-03-10

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

Lanot, Gauthier

Search in DiVA

By author/editor
Lanot, Gauthier
By organisation
Economics
In the same journal
Scandinavian Actuarial Journal
Public Health, Global Health, Social Medicine and Epidemiology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 49 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf